Triple
T13358040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enrekang Regency |
E318744
|
entity |
| Predicate | hasAdministrativeCentre |
P1474
|
FINISHED |
| Object |
Enrekang town
Enrekang town is the main urban center and governmental hub of Enrekang Regency in South Sulawesi, Indonesia.
|
E318744
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Enrekang town | Statement: [Enrekang Regency, hasAdministrativeCentre, Enrekang town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Enrekang town Context triple: [Enrekang Regency, hasAdministrativeCentre, Enrekang town]
-
A.
Parepare
Parepare is a coastal city and important port on the western coast of South Sulawesi, Indonesia.
-
B.
Enrekang Regency
Enrekang Regency is an inland administrative region of Indonesia located in the mountainous central part of South Sulawesi Province.
-
C.
Kotamobagu
Kotamobagu is a city in North Sulawesi, Indonesia, known as an administrative and economic center in the Bolaang Mongondow region.
-
D.
Bulukumba
Bulukumba is a regency in South Sulawesi, Indonesia, known for its coastal landscapes, traditional boatbuilding, and Makassarese cultural heritage.
-
E.
Luwuk
Luwuk is a coastal town and regional economic center located on the eastern coast of Central Sulawesi, Indonesia.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Enrekang town Triple: [Enrekang Regency, hasAdministrativeCentre, Enrekang town]
Generated description
Enrekang town is the main urban center and governmental hub of Enrekang Regency in South Sulawesi, Indonesia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Enrekang town Target entity description: Enrekang town is the main urban center and governmental hub of Enrekang Regency in South Sulawesi, Indonesia.
-
A.
Parepare
Parepare is a coastal city and important port on the western coast of South Sulawesi, Indonesia.
-
B.
Enrekang Regency
chosen
Enrekang Regency is an inland administrative region of Indonesia located in the mountainous central part of South Sulawesi Province.
-
C.
Kotamobagu
Kotamobagu is a city in North Sulawesi, Indonesia, known as an administrative and economic center in the Bolaang Mongondow region.
-
D.
Bulukumba
Bulukumba is a regency in South Sulawesi, Indonesia, known for its coastal landscapes, traditional boatbuilding, and Makassarese cultural heritage.
-
E.
Luwuk
Luwuk is a coastal town and regional economic center located on the eastern coast of Central Sulawesi, Indonesia.
- F. None of above.
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d806b7bbac8190b85278c87fa7aff3 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69da62887e588190bd7241c720a112a2 |
completed | April 11, 2026, 3:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7397b871c819081272c48b3210e00 |
completed | May 3, 2026, 12:03 p.m. |
| NEDg | Description generation | batch_69f73a6bb0b0819095a43154ef31712c |
completed | May 3, 2026, 12:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f73acdbbd88190909bf123926fe433 |
completed | May 3, 2026, 12:08 p.m. |
Created at: April 9, 2026, 9:32 p.m.